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Calculator
Sales Analytics Calculator Steps

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Welcome to Sales Analytics Installed Base Calculator.

Use this tool to estimate the sales potential and aging of your installed base.

   
Step 1

SAFARI Installed Base Size Calculator

# Report Item Description Item Answer
1. Company Name:*
(minimum 5 or more characters required)
2. Contact Name:
3. Contact Telephone:
4.

Contact eMail:
Enter email address to receive report via eMail

5. Product Line:*
(minimum 5 or more characters required)
6. Notes:
Enter your calculation notes (if any)
* Required
Step 2

Installed Base Assumptions

Please review the assumptions 1-7 below which describe the percentages (%) for the categories on the Data page:

Assumption #1:

Geo %

Geo % allows you to enter revenue values for a higher level entity, i.e. Worldwide $, you may enter a % for the Geography to be used in the analysis.

For example: The Revenue Value is worldwide for all goods and services. Use the Geo % to estimate the North American Revenue.
Assumption #2:

Product %

Product % allows you to enter revenue values which are at a higher level, i.e. Worldwide $ or a mix of other products and services. You can enter a Product % to estimate the Products for this analysis.

For example: The Revenue Value is worldwide for all goods and services. You can use the Geo % to estimate the North American Revenue. If the Geo % includes all Goods and Services, you can use the Product % to estimate the revenue for a Product Line. i.e. WW $ = 1B, Geo % is 50% and Product % is 50%. The value for the analysis would be $250 million.

Assumption #3:

% Market Segment

Market Segment % allows you to enter revenue % values, within your Geo % and Product % parameters. i.e. You can enter a Market Segment % to estimate the percent of products within a given market segment for this analysis.

Assumption #4:

% Available to Upgrade

What percent of a year's product sales are now prime for an upgrade. For example, would products over 5 years old be 100% available for upgrading to your latest product technology?
Assumption #5:
% Upgraded or Lost to EOL or Competition
Percentage of the products which have already been replaced or lost to competition, decommissioning or will not upgrade.
Assumption #6:
Replacement Cost This Year - % of Original Price
If in 2005 you sold a product for $10,000, what would it cost to replace the product with today's product. Enter a percentage. This is the replacement value, or percent of old value. For example if the new product would now cost $4,000 enter 40%. 40% of the purchase price.
Assumption #7:
% Erosion Factor
The % of the available upgrade business which will go away this year if you do not take action. Your competitors have programs targeting the installed base. Old products are excellent targets for competitors This includes EOL and Decommissioning - Market share loss!
Sales Analytics
Step 2

Instructions

1. To repeat the same value for all the rows upwards of the currently selected cell, press Ctrl+"Up Arrow".
2. For repeating the value downwards press the Ctrl+"Down Arrow" key on your keyboard after you enter the value.
3. If your control key already has a binding, you can also use Shift+Up and Shift+Down.

FY Total Revenue $ Million Geo %*

Product %*

Market Segment%*
% Available to Upgrade* % Upgraded or Lost to EOL or Competition* Remaining Product Value - $M Replacement Cost This Year - % of Original Price* Potential Revenue @ Replacement Value This Year - $M Installed Base Erosion Factor* Potential Installed Base Erosion $ M

* Please refer to the assumptions page tab at the top of the page for a detail explanation.





Sales Years Reviewed
Estimated Installed Base Value - $M
% Systems Over 5 Years Old
% Systems Over 4 Years Old
% Systems Over 3 Years Old
% Original Systems Still Active in the Field
Potential Upgrade Sales - $M
Potential Lost Opportunity This Year - $M
SAI Program Sales Potential* - $M


Step 2
Sales Opportunity This Year by Year Sold
Erosion This Year by Year Sold


Step 2

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